Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Lin, Jiarong"'
Autor:
Liu, Zheng, Li, Haotian, Yuan, Chongjian, Liu, Xiyuan, Lin, Jiarong, Li, Rundong, Zheng, Chunran, Zhou, Bingyang, Liu, Wenyi, Zhang, Fu
In this work, we present Voxel-SLAM: a complete, accurate, and versatile LiDAR-inertial SLAM system that fully utilizes short-term, mid-term, long-term, and multi-map data associations to achieve real-time estimation and high precision mapping. The s
Externí odkaz:
http://arxiv.org/abs/2410.08935
Point cloud maps with accurate color are crucial in robotics and mapping applications. Existing approaches for producing RGB-colorized maps are primarily based on real-time localization using filter-based estimation or sliding window optimization, wh
Externí odkaz:
http://arxiv.org/abs/2409.10868
Autor:
Zheng, Chunran, Xu, Wei, Zou, Zuhao, Hua, Tong, Yuan, Chongjian, He, Dongjiao, Zhou, Bingyang, Liu, Zheng, Lin, Jiarong, Zhu, Fangcheng, Ren, Yunfan, Wang, Rong, Meng, Fanle, Zhang, Fu
This paper proposes FAST-LIVO2: a fast, direct LiDAR-inertial-visual odometry framework to achieve accurate and robust state estimation in SLAM tasks and provide great potential in real-time, onboard robotic applications. FAST-LIVO2 fuses the IMU, Li
Externí odkaz:
http://arxiv.org/abs/2408.14035
Recent advances in mapping techniques have enabled the creation of highly accurate dense 3D maps during robotic missions, such as point clouds, meshes, or NeRF-based representations. These developments present new opportunities for reusing these maps
Externí odkaz:
http://arxiv.org/abs/2408.11966
Occupancy mapping is a fundamental component of robotic systems to reason about the unknown and known regions of the environment. This article presents an efficient occupancy mapping framework for high-resolution LiDAR sensors, termed D-Map. The fram
Externí odkaz:
http://arxiv.org/abs/2307.08493
Publikováno v:
Shipin Kexue, Vol 45, Iss 14, Pp 189-197 (2024)
The adsorption characteristics of functionalized polystyrene resin for acetaldehyde and furfural in Baijiu were evaluated in comparison with those of other sorbents including activated carbon, diatomite, and AB-8 macroporous resin. The adsorption cap
Externí odkaz:
https://doaj.org/article/2a4ca8050fc44aa69e8837587e0157ab
Autor:
Lin, Jiarong, Yuan, Chongjiang, Cai, Yixi, Li, Haotian, Ren, Yunfan, Zou, Yuying, Hong, Xiaoping, Zhang, Fu
In this paper, we propose a novel LiDAR(-inertial) odometry and mapping framework to achieve the goal of simultaneous localization and meshing in real-time. This proposed framework termed ImMesh comprises four tightly-coupled modules: receiver, local
Externí odkaz:
http://arxiv.org/abs/2301.05206
Autor:
Kong, Fanze, Liu, Xiyuan, Tang, Benxu, Lin, Jiarong, Ren, Yunfan, Cai, Yixi, Zhu, Fangcheng, Chen, Nan, Zhang, Fu
The emergence of low-cost, small form factor and light-weight solid-state LiDAR sensors have brought new opportunities for autonomous unmanned aerial vehicles (UAVs) by advancing navigation safety and computation efficiency. Yet the successful develo
Externí odkaz:
http://arxiv.org/abs/2211.10716
In this work, we present a novel global descriptor termed stable triangle descriptor (STD) for 3D place recognition. For a triangle, its shape is uniquely determined by the length of the sides or included angles. Moreover, the shape of triangles is c
Externí odkaz:
http://arxiv.org/abs/2209.12435
Autor:
Lin, Jiarong, Zhang, Fu
Simultaneous localization and mapping (SLAM) are crucial for autonomous robots (e.g., self-driving cars, autonomous drones), 3D mapping systems, and AR/VR applications. This work proposed a novel LiDAR-inertial-visual fusion framework termed R$^3$LIV
Externí odkaz:
http://arxiv.org/abs/2209.03666